{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:WLFTWFJPW3SLW2CAC4PU3MGENL","short_pith_number":"pith:WLFTWFJP","canonical_record":{"source":{"id":"2411.08934","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-13T09:47:58Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"ffb01b64d50c2debc7a5db71ea0f7306d1e32035635a4c02c532aa020c34bead","abstract_canon_sha256":"75cd4469627fd67c8cbd0d837d39d0ca305c22a6772cb80f54276353762e200c"},"schema_version":"1.0"},"canonical_sha256":"b2cb3b152fb6e4bb6840171f4db0c46ac513b0d67336dd3f226fb9d84397ed17","source":{"kind":"arxiv","id":"2411.08934","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.08934","created_at":"2026-07-05T09:35:16Z"},{"alias_kind":"arxiv_version","alias_value":"2411.08934v1","created_at":"2026-07-05T09:35:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.08934","created_at":"2026-07-05T09:35:16Z"},{"alias_kind":"pith_short_12","alias_value":"WLFTWFJPW3SL","created_at":"2026-07-05T09:35:16Z"},{"alias_kind":"pith_short_16","alias_value":"WLFTWFJPW3SLW2CA","created_at":"2026-07-05T09:35:16Z"},{"alias_kind":"pith_short_8","alias_value":"WLFTWFJP","created_at":"2026-07-05T09:35:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:WLFTWFJPW3SLW2CAC4PU3MGENL","target":"record","payload":{"canonical_record":{"source":{"id":"2411.08934","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-13T09:47:58Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"ffb01b64d50c2debc7a5db71ea0f7306d1e32035635a4c02c532aa020c34bead","abstract_canon_sha256":"75cd4469627fd67c8cbd0d837d39d0ca305c22a6772cb80f54276353762e200c"},"schema_version":"1.0"},"canonical_sha256":"b2cb3b152fb6e4bb6840171f4db0c46ac513b0d67336dd3f226fb9d84397ed17","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:35:16.920437Z","signature_b64":"eJxwJG+qYzQcyVyapjApsD653xcl8PCBFvkiMcVeX73r+wwo9twtKE0qissw9ttq2Clt26gbtcv+0pGejr80Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b2cb3b152fb6e4bb6840171f4db0c46ac513b0d67336dd3f226fb9d84397ed17","last_reissued_at":"2026-07-05T09:35:16.919933Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:35:16.919933Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.08934","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:35:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NKthQZ9/twueErwKfY5dNH8jeX2RyswM/TYn+ovGU2H8OSE/BX6/3cXji86ANcSCb1dk1Y9a0EWEUBS8oeHFBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T08:52:03.838704Z"},"content_sha256":"d10891c3d594fa72ed3cc00dd5cc266aa03309f867b0cc705caf3f5d74fad687","schema_version":"1.0","event_id":"sha256:d10891c3d594fa72ed3cc00dd5cc266aa03309f867b0cc705caf3f5d74fad687"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:WLFTWFJPW3SLW2CAC4PU3MGENL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Predicting household socioeconomic position in Mozambique using satellite and household imagery","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Carles Mil\\`a, Cathryn Tonne, Charfudin Sacoor, Edgar Jamisse, Elisa Sicuri, Jovito Nunes, Paula Petrone, Quique Bassat, Teodimiro Matsena","submitted_at":"2024-11-13T09:47:58Z","abstract_excerpt":"Many studies have predicted SocioEconomic Position (SEP) for aggregated spatial units such as villages using satellite data, but SEP prediction at the household level and other sources of imagery have not been yet explored. We assembled a dataset of 975 households in a semi-rural district in southern Mozambique, consisting of self-reported asset, expenditure, and income SEP data, as well as multimodal imagery including satellite images and a ground-based photograph survey of 11 household elements. We fine-tuned a convolutional neural network to extract feature vectors from the images, which we"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.08934","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2411.08934/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:35:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TJuctBPMmNnCmnCyR1GgUA8ZPXkkLqTsFUPnC6Lb0mP1MIpYp0bLdAVABta1vsarGr6PJayX/zst3VKYTRVLCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T08:52:03.839608Z"},"content_sha256":"e00fc8e08f7b24d9eff4b7bd8b28b38d0cbae73811d66c5ca23efe3c193d4ec0","schema_version":"1.0","event_id":"sha256:e00fc8e08f7b24d9eff4b7bd8b28b38d0cbae73811d66c5ca23efe3c193d4ec0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WLFTWFJPW3SLW2CAC4PU3MGENL/bundle.json","state_url":"https://pith.science/pith/WLFTWFJPW3SLW2CAC4PU3MGENL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WLFTWFJPW3SLW2CAC4PU3MGENL/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-22T08:52:03Z","links":{"resolver":"https://pith.science/pith/WLFTWFJPW3SLW2CAC4PU3MGENL","bundle":"https://pith.science/pith/WLFTWFJPW3SLW2CAC4PU3MGENL/bundle.json","state":"https://pith.science/pith/WLFTWFJPW3SLW2CAC4PU3MGENL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WLFTWFJPW3SLW2CAC4PU3MGENL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WLFTWFJPW3SLW2CAC4PU3MGENL","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"75cd4469627fd67c8cbd0d837d39d0ca305c22a6772cb80f54276353762e200c","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-13T09:47:58Z","title_canon_sha256":"ffb01b64d50c2debc7a5db71ea0f7306d1e32035635a4c02c532aa020c34bead"},"schema_version":"1.0","source":{"id":"2411.08934","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.08934","created_at":"2026-07-05T09:35:16Z"},{"alias_kind":"arxiv_version","alias_value":"2411.08934v1","created_at":"2026-07-05T09:35:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.08934","created_at":"2026-07-05T09:35:16Z"},{"alias_kind":"pith_short_12","alias_value":"WLFTWFJPW3SL","created_at":"2026-07-05T09:35:16Z"},{"alias_kind":"pith_short_16","alias_value":"WLFTWFJPW3SLW2CA","created_at":"2026-07-05T09:35:16Z"},{"alias_kind":"pith_short_8","alias_value":"WLFTWFJP","created_at":"2026-07-05T09:35:16Z"}],"graph_snapshots":[{"event_id":"sha256:e00fc8e08f7b24d9eff4b7bd8b28b38d0cbae73811d66c5ca23efe3c193d4ec0","target":"graph","created_at":"2026-07-05T09:35:16Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2411.08934/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many studies have predicted SocioEconomic Position (SEP) for aggregated spatial units such as villages using satellite data, but SEP prediction at the household level and other sources of imagery have not been yet explored. We assembled a dataset of 975 households in a semi-rural district in southern Mozambique, consisting of self-reported asset, expenditure, and income SEP data, as well as multimodal imagery including satellite images and a ground-based photograph survey of 11 household elements. We fine-tuned a convolutional neural network to extract feature vectors from the images, which we","authors_text":"Carles Mil\\`a, Cathryn Tonne, Charfudin Sacoor, Edgar Jamisse, Elisa Sicuri, Jovito Nunes, Paula Petrone, Quique Bassat, Teodimiro Matsena","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-13T09:47:58Z","title":"Predicting household socioeconomic position in Mozambique using satellite and household imagery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.08934","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:d10891c3d594fa72ed3cc00dd5cc266aa03309f867b0cc705caf3f5d74fad687","target":"record","created_at":"2026-07-05T09:35:16Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"75cd4469627fd67c8cbd0d837d39d0ca305c22a6772cb80f54276353762e200c","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-13T09:47:58Z","title_canon_sha256":"ffb01b64d50c2debc7a5db71ea0f7306d1e32035635a4c02c532aa020c34bead"},"schema_version":"1.0","source":{"id":"2411.08934","kind":"arxiv","version":1}},"canonical_sha256":"b2cb3b152fb6e4bb6840171f4db0c46ac513b0d67336dd3f226fb9d84397ed17","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b2cb3b152fb6e4bb6840171f4db0c46ac513b0d67336dd3f226fb9d84397ed17","first_computed_at":"2026-07-05T09:35:16.919933Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:35:16.919933Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eJxwJG+qYzQcyVyapjApsD653xcl8PCBFvkiMcVeX73r+wwo9twtKE0qissw9ttq2Clt26gbtcv+0pGejr80Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:35:16.920437Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.08934","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d10891c3d594fa72ed3cc00dd5cc266aa03309f867b0cc705caf3f5d74fad687","sha256:e00fc8e08f7b24d9eff4b7bd8b28b38d0cbae73811d66c5ca23efe3c193d4ec0"],"state_sha256":"cd5588f65cab9f94499d812e89516a34bc4e0e045e4290315877ae2d2b2dcb00"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VQcpCiVQGylroksTWkjIjbjRBN8q6Zv0s9ReFhKXHYUkkqODy/hhSPZBFMK5QkrjfqQZkJXu1xbjWyCFfy6/BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T08:52:03.848428Z","bundle_sha256":"dade5050d4526cf00bfa7aa40ad734274423785073aa6d140e55ad182617f1fa"}}